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RUTA:MED – Dual Workflow Medical Speech Transcription Pipeline and Editor

 
CLARIN Centre of Latvian language resources and tools
  Authors
Znotiņš, Artūrs ; Darģis, Roberts ; Grūzītis, Normunds ; Bārzdiņš, Guntis and Goško, Didzis
  Item identifier
http://hdl.handle.net/20.500.12574/70
 Demo URL
https://med.ailab.lv/demo/
 Referenced by
https://zenodo.org/record/6988837#.Y4JFaOzP1zU
 Date issued
2022
 Type
toolService
 Language(s)
Latvian
 Description
In the medical domain, various approaches are used to produce examination reports and other medical records. Depending on the language-specific technology support, the type of examination, the size of the hospital or clinic, and other aspects, the reporting workflow can range from completely manual to (semi-)automated. A manual workflow may completely depend on the doctor itself or may include a transcriptionist centre in the loop. In an automated workflow, the transcriptionist centre is typically replaced by an automatic speech recognition (ASR) system. While the latter approach is well suited for high resource languages with low word error rate (WER), a dual approach combining automated transcription with the support from a transcriptionist centre may be more suited for less resourced languages. The RUTA:MED platform supports both workflows simultaneously. It currently includes an ASR pipeline for the Latvian language, which can be changed with ASR modules for any other language.
 Publisher
AiLab IMCS UL
 Acknowledgement

European Regional Development Fund

Project code: 1.1.1.1/18/A/153

Project name: Latvian Speech Recognition and Synthesis for Medical Applications

 Subject(s)
speech transcription medical domain transcription editor
 Collection(s)
Language resources and tools of AiLab IMCS UL
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Partners, Coordination, Funding

  • Institute of Mathematics and Computer Science of the University of Latvia
  • Institute of Literature, Folklore and Art of the University of Latvia
  • University of Latvia
  • Rīga Stradiņš University
  • RTU Liepaja
  • Rezekne Academy of Technologies
  • National Library of Latvia

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This platform runs under the software developed for the LINDAT/CLARIN repository for linguistics , available on GitHub